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I am Rayaq Siddiqui. I am in my final year of Software Engineering at the University of Waterloo. I have experience as a Machine Learning Developer, both in Computer Vision and Natural Language Processing. I also have experiences in Machine Learning Compilers and general Software Engineering.

I love programming and mathematics.

What am I doing?

πŸ‘¨β€πŸ’» Currently, I am

  • Machine Learning Compiler Intern @ d-Matrix
  • Incoming Software Engineering Intern @ Google

πŸ’» Recently, I have

  • Machine Learning Developer Intern @ IBM
  • Machine Learning Developer Intern @ BlackBerry
  • Machine Learning Developer @ Watolink
  • Software Engineering Intern @ Royal Bank of Canada (RBC)

πŸ–₯️ Previously, I have

  • Technical Project Manager @ Wat.AI
  • Research @ ProjectX (affiliated with University of Waterloo)
  • Software Engineer Intern @ Polar/Nova

Projects

Feel free to checkout some of my projects pinned below!

Rayaq Siddiqui's Projects

connect4ai icon connect4ai

Creating an AI in Java that uses algorithms of connect4 to create an optimal and perfect solution for connect4.

gameoflife icon gameoflife

Java based visual implementation of the famous Conley's Game of Life. To best view, use processing. It shows the fundamentals of using multiple classes and combining them to create a functional program.

ham10000 icon ham10000

Training a CNN on the HAM10000 dataset using Tensorflow

pathfinding-algorithm icon pathfinding-algorithm

Using Java, implemented famous pathfinding algorithms *visually* using processing. Algorithms such like A* or Dykstra's Algorithm.

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

rl-car-racing icon rl-car-racing

Experimenting with Reinforcement learning in a car racing environment

snake_rl icon snake_rl

Experiments with reinforcement learning and snake game

stockmarketdataanalysis icon stockmarketdataanalysis

Using Java, I created a stock market scraper that pulls information for any given stock. Based on these values, we complete one and two variable analysis using Data Management fundamentals and see if a specific model is accurate in predicting the stock market.

tohacks22 icon tohacks22

Developed a safety monitoring platform that leverages sentiment analysis on children’s conversation to alert parents of harmful verbal altercations

ultraanalysis icon ultraanalysis

Developed a semantic segmentation algorithm to discover malignant cell clusters in ultrasounds using the UNet and ENet architectures

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